SpaCEy Links Spatial Tissue Patterns to Clinical Outcomes
SpaCEy uses explainable graph neural networks to link spatial tissue patterns in proteomics to patient survival, offering new insights into cancer progression and treatment response.
SpaCEy uses explainable graph neural networks to link spatial tissue patterns in proteomics to patient survival, offering new insights into cancer progression and treatment response.
NVIDIA introduces NV-Reason-CT, a vision-language model designed to emulate radiologist thinking in 3D CT scans. It enables structured, chain-of-thought reasoning across chest and abdominal imaging, with clinical validation and open-source availability.